Dataset statistics
| Number of variables | 31 |
|---|---|
| Number of observations | 20000 |
| Missing cells | 8061 |
| Missing cells (%) | 1.3% |
| Duplicate rows | 1 |
| Duplicate rows (%) | < 0.1% |
| Total size in memory | 4.7 MiB |
| Average record size in memory | 248.0 B |
Variable types
| Categorical | 15 |
|---|---|
| Numeric | 13 |
| Boolean | 3 |
| Dataset has 1 (< 0.1%) duplicate rows | Duplicates |
qtde_contas_bancarias is highly correlated with qtde_contas_bancarias_especiais | High correlation |
qtde_contas_bancarias_especiais is highly correlated with qtde_contas_bancarias | High correlation |
qtde_contas_bancarias is highly correlated with qtde_contas_bancarias_especiais | High correlation |
qtde_contas_bancarias_especiais is highly correlated with qtde_contas_bancarias | High correlation |
tipo_residencia has 536 (2.7%) missing values | Missing |
meses_na_residencia has 1450 (7.2%) missing values | Missing |
profissao has 3097 (15.5%) missing values | Missing |
ocupacao has 2978 (14.9%) missing values | Missing |
renda_mensal_regular is highly skewed (γ1 = 67.75421325) | Skewed |
renda_extra is highly skewed (γ1 = 137.4095781) | Skewed |
valor_patrimonio_pessoal is highly skewed (γ1 = 126.6995194) | Skewed |
meses_no_trabalho is highly skewed (γ1 = 63.19895877) | Skewed |
inadimplente is uniformly distributed | Uniform |
qtde_dependentes has 13350 (66.8%) zeros | Zeros |
tipo_residencia has 331 (1.7%) zeros | Zeros |
meses_na_residencia has 1858 (9.3%) zeros | Zeros |
renda_extra has 18930 (94.7%) zeros | Zeros |
valor_patrimonio_pessoal has 19072 (95.4%) zeros | Zeros |
meses_no_trabalho has 19973 (99.9%) zeros | Zeros |
profissao has 1398 (7.0%) zeros | Zeros |
ocupacao has 1114 (5.6%) zeros | Zeros |
Reproduction
| Analysis started | 2021-05-15 22:13:43.264149 |
|---|---|
| Analysis finished | 2021-05-15 22:14:39.973707 |
| Duration | 56.71 seconds |
| Software version | pandas-profiling v2.11.0 |
| Download configuration | config.yaml |
produto_solicitado
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 156.4 KiB |
| 1 | |
|---|---|
| 2 | |
| 7 | 542 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 20000 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 7 |
| Value | Count | Frequency (%) |
| 1 | 17023 | |
| 2 | 2435 | 12.2% |
| 7 | 542 | 2.7% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1 | 17023 | |
| 2 | 2435 | 12.2% |
| 7 | 542 | 2.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 17023 | |
| 2 | 2435 | 12.2% |
| 7 | 542 | 2.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 20000 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 1 | 17023 | |
| 2 | 2435 | 12.2% |
| 7 | 542 | 2.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 20000 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 1 | 17023 | |
| 2 | 2435 | 12.2% |
| 7 | 542 | 2.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20000 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 1 | 17023 | |
| 2 | 2435 | 12.2% |
| 7 | 542 | 2.7% |
dia_vencimento
Real number (ℝ≥0)
| Distinct | 6 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13.14725 |
|---|---|
| Minimum | 1 |
| Maximum | 25 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 156.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 5 |
| Q1 | 10 |
| median | 10 |
| Q3 | 20 |
| 95-th percentile | 25 |
| Maximum | 25 |
| Range | 24 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 6.748506839 |
|---|---|
| Coefficient of variation (CV) | 0.5133017809 |
| Kurtosis | -0.7233846608 |
| Mean | 13.14725 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.441538168 |
| Sum | 262945 |
| Variance | 45.54234455 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 10 | 7847 | |
| 15 | 3557 | |
| 25 | 3089 | 15.4% |
| 5 | 2825 | 14.1% |
| 20 | 1952 | 9.8% |
| 1 | 730 | 3.6% |
| Value | Count | Frequency (%) |
| 1 | 730 | 3.6% |
| 5 | 2825 | 14.1% |
| 10 | 7847 | |
| 15 | 3557 | |
| 20 | 1952 | 9.8% |
| Value | Count | Frequency (%) |
| 25 | 3089 | 15.4% |
| 20 | 1952 | 9.8% |
| 15 | 3557 | |
| 10 | 7847 | |
| 5 | 2825 | 14.1% |
forma_envio_solicitacao
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 156.4 KiB |
| internet | |
|---|---|
| presencial | |
| correio | 881 |
Length
| Max length | 10 |
|---|---|
| Median length | 8 |
| Mean length | 8.74145 |
| Min length | 7 |
Characters and Unicode
| Total characters | 174829 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | presencial |
|---|---|
| 2nd row | internet |
| 3rd row | internet |
| 4th row | internet |
| 5th row | internet |
| Value | Count | Frequency (%) |
| internet | 11264 | |
| presencial | 7855 | |
| correio | 881 | 4.4% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| internet | 11264 | |
| presencial | 7855 | |
| correio | 881 | 4.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 39119 | |
| n | 30383 | |
| t | 22528 | |
| r | 20881 | |
| i | 20000 | |
| c | 8736 | 5.0% |
| p | 7855 | 4.5% |
| s | 7855 | 4.5% |
| a | 7855 | 4.5% |
| l | 7855 | 4.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 174829 |
Most frequent character per category
| Value | Count | Frequency (%) |
| e | 39119 | |
| n | 30383 | |
| t | 22528 | |
| r | 20881 | |
| i | 20000 | |
| c | 8736 | 5.0% |
| p | 7855 | 4.5% |
| s | 7855 | 4.5% |
| a | 7855 | 4.5% |
| l | 7855 | 4.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 174829 |
Most frequent character per script
| Value | Count | Frequency (%) |
| e | 39119 | |
| n | 30383 | |
| t | 22528 | |
| r | 20881 | |
| i | 20000 | |
| c | 8736 | 5.0% |
| p | 7855 | 4.5% |
| s | 7855 | 4.5% |
| a | 7855 | 4.5% |
| l | 7855 | 4.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 174829 |
Most frequent character per block
| Value | Count | Frequency (%) |
| e | 39119 | |
| n | 30383 | |
| t | 22528 | |
| r | 20881 | |
| i | 20000 | |
| c | 8736 | 5.0% |
| p | 7855 | 4.5% |
| s | 7855 | 4.5% |
| a | 7855 | 4.5% |
| l | 7855 | 4.5% |
tipo_endereco
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 156.4 KiB |
| 1 | |
|---|---|
| 2 | 127 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 20000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
| Value | Count | Frequency (%) |
| 1 | 19873 | |
| 2 | 127 | 0.6% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1 | 19873 | |
| 2 | 127 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 19873 | |
| 2 | 127 | 0.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 20000 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 1 | 19873 | |
| 2 | 127 | 0.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 20000 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 1 | 19873 | |
| 2 | 127 | 0.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20000 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 1 | 19873 | |
| 2 | 127 | 0.6% |
sexo
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 156.4 KiB |
| F | |
|---|---|
| M | |
| N | 25 |
| 7 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 20000 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | M |
|---|---|
| 2nd row | F |
| 3rd row | F |
| 4th row | M |
| 5th row | F |
| Value | Count | Frequency (%) |
| F | 12246 | |
| M | 7722 | |
| N | 25 | 0.1% |
| 7 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| f | 12246 | |
| m | 7722 | |
| n | 25 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| F | 12246 | |
| M | 7722 | |
| N | 25 | 0.1% |
| 7 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 19993 | |
| Space Separator | 7 | < 0.1% |
Most frequent character per category
| Value | Count | Frequency (%) |
| F | 12246 | |
| M | 7722 | |
| N | 25 | 0.1% |
| Value | Count | Frequency (%) |
| 7 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 19993 | |
| Common | 7 | < 0.1% |
Most frequent character per script
| Value | Count | Frequency (%) |
| F | 12246 | |
| M | 7722 | |
| N | 25 | 0.1% |
| Value | Count | Frequency (%) |
| 7 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20000 |
Most frequent character per block
| Value | Count | Frequency (%) |
| F | 12246 | |
| M | 7722 | |
| N | 25 | 0.1% |
| 7 | < 0.1% |
idade
Real number (ℝ≥0)
| Distinct | 84 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 42.3525 |
|---|---|
| Minimum | 7 |
| Maximum | 106 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 156.4 KiB |
Quantile statistics
| Minimum | 7 |
|---|---|
| 5-th percentile | 21 |
| Q1 | 31 |
| median | 40 |
| Q3 | 52 |
| 95-th percentile | 70 |
| Maximum | 106 |
| Range | 99 |
| Interquartile range (IQR) | 21 |
Descriptive statistics
| Standard deviation | 14.93017713 |
|---|---|
| Coefficient of variation (CV) | 0.3525217433 |
| Kurtosis | -0.210705359 |
| Mean | 42.3525 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 0.5584304521 |
| Sum | 847050 |
| Variance | 222.9101893 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 40 | 555 | 2.8% |
| 39 | 534 | 2.7% |
| 36 | 526 | 2.6% |
| 32 | 518 | 2.6% |
| 37 | 513 | 2.6% |
| 43 | 510 | 2.5% |
| 28 | 509 | 2.5% |
| 33 | 504 | 2.5% |
| 31 | 503 | 2.5% |
| 38 | 500 | 2.5% |
| Other values (74) | 14828 |
| Value | Count | Frequency (%) |
| 7 | 1 | < 0.1% |
| 17 | 7 | < 0.1% |
| 18 | 265 | |
| 19 | 260 | |
| 20 | 293 |
| Value | Count | Frequency (%) |
| 106 | 2 | |
| 100 | 1 | < 0.1% |
| 97 | 1 | < 0.1% |
| 96 | 2 | |
| 95 | 4 |
estado_civil
Real number (ℝ≥0)
| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.12085 |
|---|---|
| Minimum | 0 |
| Maximum | 7 |
| Zeros | 81 |
| Zeros (%) | 0.4% |
| Memory size | 156.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 2 |
| 95-th percentile | 5 |
| Maximum | 7 |
| Range | 7 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.33200375 |
|---|---|
| Coefficient of variation (CV) | 0.6280518423 |
| Kurtosis | 2.799170933 |
| Mean | 2.12085 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.76004596 |
| Sum | 42417 |
| Variance | 1.774233989 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 2 | 10088 | |
| 1 | 6519 | |
| 4 | 1573 | 7.9% |
| 6 | 763 | 3.8% |
| 5 | 522 | 2.6% |
| 3 | 234 | 1.2% |
| 7 | 220 | 1.1% |
| 0 | 81 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 81 | 0.4% |
| 1 | 6519 | |
| 2 | 10088 | |
| 3 | 234 | 1.2% |
| 4 | 1573 | 7.9% |
| Value | Count | Frequency (%) |
| 7 | 220 | 1.1% |
| 6 | 763 | |
| 5 | 522 | 2.6% |
| 4 | 1573 | |
| 3 | 234 | 1.2% |
| Distinct | 15 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.6664 |
|---|---|
| Minimum | 0 |
| Maximum | 53 |
| Zeros | 13350 |
| Zeros (%) | 66.8% |
| Memory size | 156.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 3 |
| Maximum | 53 |
| Range | 53 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.23672451 |
|---|---|
| Coefficient of variation (CV) | 1.855829097 |
| Kurtosis | 167.6045062 |
| Mean | 0.6664 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 5.925042325 |
| Sum | 13328 |
| Variance | 1.529487514 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=15)
| Value | Count | Frequency (%) |
| 0 | 13350 | |
| 1 | 2814 | 14.1% |
| 2 | 2189 | 10.9% |
| 3 | 1029 | 5.1% |
| 4 | 352 | 1.8% |
| 5 | 149 | 0.7% |
| 6 | 57 | 0.3% |
| 7 | 22 | 0.1% |
| 8 | 14 | 0.1% |
| 9 | 9 | < 0.1% |
| Other values (5) | 15 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 13350 | |
| 1 | 2814 | 14.1% |
| 2 | 2189 | 10.9% |
| 3 | 1029 | 5.1% |
| 4 | 352 | 1.8% |
| Value | Count | Frequency (%) |
| 53 | 1 | < 0.1% |
| 14 | 1 | < 0.1% |
| 13 | 2 | < 0.1% |
| 11 | 4 | |
| 10 | 7 |
nacionalidade
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 156.4 KiB |
| 1 | |
|---|---|
| 0 | 808 |
| 2 | 40 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 20000 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
| Value | Count | Frequency (%) |
| 1 | 19152 | |
| 0 | 808 | 4.0% |
| 2 | 40 | 0.2% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1 | 19152 | |
| 0 | 808 | 4.0% |
| 2 | 40 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 19152 | |
| 0 | 808 | 4.0% |
| 2 | 40 | 0.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 20000 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 1 | 19152 | |
| 0 | 808 | 4.0% |
| 2 | 40 | 0.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 20000 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 1 | 19152 | |
| 0 | 808 | 4.0% |
| 2 | 40 | 0.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20000 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 1 | 19152 | |
| 0 | 808 | 4.0% |
| 2 | 40 | 0.2% |
possui_telefone_residencial
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 19.7 KiB |
| True | |
|---|---|
| False |
| Value | Count | Frequency (%) |
| True | 16474 | |
| False | 3526 | 17.6% |
| Distinct | 6 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 536 |
| Missing (%) | 2.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.261302918 |
|---|---|
| Minimum | 0 |
| Maximum | 5 |
| Zeros | 331 |
| Zeros (%) | 1.7% |
| Memory size | 156.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 3 |
| Maximum | 5 |
| Range | 5 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.8835795418 |
|---|---|
| Coefficient of variation (CV) | 0.7005292139 |
| Kurtosis | 11.37714604 |
| Mean | 1.261302918 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.408604224 |
| Sum | 24550 |
| Variance | 0.7807128068 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 1 | 16497 | |
| 2 | 1635 | 8.2% |
| 5 | 827 | 4.1% |
| 0 | 331 | 1.7% |
| 4 | 126 | 0.6% |
| 3 | 48 | 0.2% |
| (Missing) | 536 | 2.7% |
| Value | Count | Frequency (%) |
| 0 | 331 | 1.7% |
| 1 | 16497 | |
| 2 | 1635 | 8.2% |
| 3 | 48 | 0.2% |
| 4 | 126 | 0.6% |
| Value | Count | Frequency (%) |
| 5 | 827 | 4.1% |
| 4 | 126 | 0.6% |
| 3 | 48 | 0.2% |
| 2 | 1635 | 8.2% |
| 1 | 16497 |
| Distinct | 76 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 1450 |
| Missing (%) | 7.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.57245283 |
|---|---|
| Minimum | 0 |
| Maximum | 228 |
| Zeros | 1858 |
| Zeros (%) | 9.3% |
| Memory size | 156.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 6 |
| Q3 | 15 |
| 95-th percentile | 30 |
| Maximum | 228 |
| Range | 228 |
| Interquartile range (IQR) | 14 |
Descriptive statistics
| Standard deviation | 10.64958027 |
|---|---|
| Coefficient of variation (CV) | 1.112523661 |
| Kurtosis | 18.11111445 |
| Mean | 9.57245283 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 2.340849526 |
| Sum | 177569 |
| Variance | 113.4135599 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 2937 | |
| 0 | 1858 | 9.3% |
| 10 | 1510 | 7.5% |
| 5 | 1486 | 7.4% |
| 2 | 1319 | 6.6% |
| 3 | 953 | 4.8% |
| 20 | 934 | 4.7% |
| 15 | 776 | 3.9% |
| 8 | 672 | 3.4% |
| 6 | 666 | 3.3% |
| Other values (66) | 5439 | |
| (Missing) | 1450 | 7.2% |
| Value | Count | Frequency (%) |
| 0 | 1858 | |
| 1 | 2937 | |
| 2 | 1319 | |
| 3 | 953 | 4.8% |
| 4 | 643 | 3.2% |
| Value | Count | Frequency (%) |
| 228 | 1 | |
| 200 | 1 | |
| 100 | 1 | |
| 96 | 1 | |
| 89 | 1 |
possui_email
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 156.4 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 20000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
| Value | Count | Frequency (%) |
| 1 | 15984 | |
| 0 | 4016 | 20.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1 | 15984 | |
| 0 | 4016 | 20.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 15984 | |
| 0 | 4016 | 20.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 20000 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 1 | 15984 | |
| 0 | 4016 | 20.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 20000 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 1 | 15984 | |
| 0 | 4016 | 20.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20000 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 1 | 15984 | |
| 0 | 4016 | 20.1% |
| Distinct | 3031 |
|---|---|
| Distinct (%) | 15.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 957.1309375 |
|---|---|
| Minimum | 69 |
| Maximum | 959000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 156.4 KiB |
Quantile statistics
| Minimum | 69 |
|---|---|
| 5-th percentile | 289 |
| Q1 | 360 |
| median | 500 |
| Q3 | 800 |
| 95-th percentile | 1782.05 |
| Maximum | 959000 |
| Range | 958931 |
| Interquartile range (IQR) | 440 |
Descriptive statistics
| Standard deviation | 11353.965 |
|---|---|
| Coefficient of variation (CV) | 11.86249922 |
| Kurtosis | 5062.489381 |
| Mean | 957.1309375 |
| Median Absolute Deviation (MAD) | 150 |
| Skewness | 67.75421325 |
| Sum | 19142618.75 |
| Variance | 128912521.2 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 350 | 2808 | 14.0% |
| 500 | 628 | 3.1% |
| 400 | 579 | 2.9% |
| 380 | 546 | 2.7% |
| 600 | 513 | 2.6% |
| 700 | 419 | 2.1% |
| 800 | 388 | 1.9% |
| 450 | 340 | 1.7% |
| 300 | 337 | 1.7% |
| 1000 | 248 | 1.2% |
| Other values (3021) | 13194 |
| Value | Count | Frequency (%) |
| 69 | 1 | < 0.1% |
| 100 | 5 | |
| 105 | 1 | < 0.1% |
| 115 | 1 | < 0.1% |
| 120 | 5 |
| Value | Count | Frequency (%) |
| 959000 | 1 | |
| 875000 | 1 | |
| 668000 | 1 | |
| 486778 | 1 | |
| 174274 | 1 |
| Distinct | 284 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 39.0969585 |
|---|---|
| Minimum | 0 |
| Maximum | 194344 |
| Zeros | 18930 |
| Zeros (%) | 94.7% |
| Memory size | 156.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 100 |
| Maximum | 194344 |
| Range | 194344 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1387.42878 |
|---|---|
| Coefficient of variation (CV) | 35.48687247 |
| Kurtosis | 19237.66506 |
| Mean | 39.0969585 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 137.4095781 |
| Sum | 781939.17 |
| Variance | 1924958.62 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 18930 | |
| 350 | 136 | 0.7% |
| 600 | 61 | 0.3% |
| 300 | 58 | 0.3% |
| 400 | 57 | 0.3% |
| 200 | 57 | 0.3% |
| 500 | 53 | 0.3% |
| 800 | 31 | 0.2% |
| 250 | 29 | 0.1% |
| 150 | 25 | 0.1% |
| Other values (274) | 563 | 2.8% |
| Value | Count | Frequency (%) |
| 0 | 18930 | |
| 1 | 1 | < 0.1% |
| 3 | 1 | < 0.1% |
| 15 | 2 | < 0.1% |
| 31.48 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 194344 | 1 | |
| 10200 | 1 | |
| 8341 | 1 | |
| 5400 | 1 | |
| 5000 | 1 |
possui_cartao_visa
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 156.4 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 20000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 17822 | |
| 1 | 2178 | 10.9% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 17822 | |
| 1 | 2178 | 10.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 17822 | |
| 1 | 2178 | 10.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 20000 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 17822 | |
| 1 | 2178 | 10.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 20000 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 17822 | |
| 1 | 2178 | 10.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20000 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 17822 | |
| 1 | 2178 | 10.9% |
possui_cartao_mastercard
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 156.4 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 20000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 18101 | |
| 1 | 1899 | 9.5% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 18101 | |
| 1 | 1899 | 9.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 18101 | |
| 1 | 1899 | 9.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 20000 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 18101 | |
| 1 | 1899 | 9.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 20000 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 18101 | |
| 1 | 1899 | 9.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20000 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 18101 | |
| 1 | 1899 | 9.5% |
possui_cartao_diners
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 156.4 KiB |
| 0 | |
|---|---|
| 1 | 32 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 20000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 19968 | |
| 1 | 32 | 0.2% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 19968 | |
| 1 | 32 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 19968 | |
| 1 | 32 | 0.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 20000 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 19968 | |
| 1 | 32 | 0.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 20000 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 19968 | |
| 1 | 32 | 0.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20000 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 19968 | |
| 1 | 32 | 0.2% |
possui_cartao_amex
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 156.4 KiB |
| 0 | |
|---|---|
| 1 | 41 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 20000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 19959 | |
| 1 | 41 | 0.2% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 19959 | |
| 1 | 41 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 19959 | |
| 1 | 41 | 0.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 20000 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 19959 | |
| 1 | 41 | 0.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 20000 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 19959 | |
| 1 | 41 | 0.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20000 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 19959 | |
| 1 | 41 | 0.2% |
possui_outros_cartoes
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 156.4 KiB |
| 0 | |
|---|---|
| 1 | 45 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 20000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 19955 | |
| 1 | 45 | 0.2% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 19955 | |
| 1 | 45 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 19955 | |
| 1 | 45 | 0.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 20000 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 19955 | |
| 1 | 45 | 0.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 20000 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 19955 | |
| 1 | 45 | 0.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20000 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 19955 | |
| 1 | 45 | 0.2% |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 156.4 KiB |
| 0 | |
|---|---|
| 1 | |
| 2 | 8 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 20000 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 12786 | |
| 1 | 7206 | |
| 2 | 8 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 12786 | |
| 1 | 7206 | |
| 2 | 8 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 12786 | |
| 1 | 7206 | |
| 2 | 8 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 20000 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 12786 | |
| 1 | 7206 | |
| 2 | 8 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 20000 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 12786 | |
| 1 | 7206 | |
| 2 | 8 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20000 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 12786 | |
| 1 | 7206 | |
| 2 | 8 | < 0.1% |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 156.4 KiB |
| 0 | |
|---|---|
| 1 | |
| 2 | 8 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 20000 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 12786 | |
| 1 | 7206 | |
| 2 | 8 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 12786 | |
| 1 | 7206 | |
| 2 | 8 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 12786 | |
| 1 | 7206 | |
| 2 | 8 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 20000 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 12786 | |
| 1 | 7206 | |
| 2 | 8 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 20000 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 12786 | |
| 1 | 7206 | |
| 2 | 8 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20000 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 12786 | |
| 1 | 7206 | |
| 2 | 8 | < 0.1% |
| Distinct | 94 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2095.614 |
|---|---|
| Minimum | 0 |
| Maximum | 6000000 |
| Zeros | 19072 |
| Zeros (%) | 95.4% |
| Memory size | 156.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 6000000 |
| Range | 6000000 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 44033.43658 |
|---|---|
| Coefficient of variation (CV) | 21.01218859 |
| Kurtosis | 17218.03756 |
| Mean | 2095.614 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 126.6995194 |
| Sum | 41912280 |
| Variance | 1938943537 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 19072 | |
| 25000 | 87 | 0.4% |
| 30000 | 86 | 0.4% |
| 20000 | 83 | 0.4% |
| 50000 | 71 | 0.4% |
| 15000 | 66 | 0.3% |
| 35000 | 63 | 0.3% |
| 40000 | 48 | 0.2% |
| 45000 | 39 | 0.2% |
| 60000 | 37 | 0.2% |
| Other values (84) | 348 | 1.7% |
| Value | Count | Frequency (%) |
| 0 | 19072 | |
| 7 | 1 | < 0.1% |
| 15 | 1 | < 0.1% |
| 17 | 1 | < 0.1% |
| 18 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 6000000 | 1 | |
| 600000 | 1 | |
| 450000 | 1 | |
| 320000 | 1 | |
| 250000 | 2 |
possui_carro
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 156.4 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 20000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
| Value | Count | Frequency (%) |
| 0 | 13219 | |
| 1 | 6781 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 13219 | |
| 1 | 6781 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 13219 | |
| 1 | 6781 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 20000 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 13219 | |
| 1 | 6781 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 20000 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 13219 | |
| 1 | 6781 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20000 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 13219 | |
| 1 | 6781 |
vinculo_formal_com_empresa
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 19.7 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 11174 | |
| True | 8826 |
possui_telefone_trabalho
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 19.7 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 14519 | |
| True | 5481 | 27.4% |
| Distinct | 13 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.0089 |
|---|---|
| Minimum | 0 |
| Maximum | 32 |
| Zeros | 19973 |
| Zeros (%) | 99.9% |
| Memory size | 156.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 32 |
| Range | 32 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.3888808962 |
|---|---|
| Coefficient of variation (CV) | 43.69448272 |
| Kurtosis | 4536.037419 |
| Mean | 0.0089 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 63.19895877 |
| Sum | 178 |
| Variance | 0.1512283514 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 0 | 19973 | |
| 1 | 7 | < 0.1% |
| 3 | 4 | < 0.1% |
| 2 | 4 | < 0.1% |
| 6 | 2 | < 0.1% |
| 5 | 2 | < 0.1% |
| 4 | 2 | < 0.1% |
| 15 | 1 | < 0.1% |
| 30 | 1 | < 0.1% |
| 14 | 1 | < 0.1% |
| Other values (3) | 3 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 19973 | |
| 1 | 7 | < 0.1% |
| 2 | 4 | < 0.1% |
| 3 | 4 | < 0.1% |
| 4 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 32 | 1 | |
| 30 | 1 | |
| 18 | 1 | |
| 15 | 1 | |
| 14 | 1 |
| Distinct | 18 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 3097 |
| Missing (%) | 15.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.045080755 |
|---|---|
| Minimum | 0 |
| Maximum | 17 |
| Zeros | 1398 |
| Zeros (%) | 7.0% |
| Memory size | 156.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 9 |
| median | 9 |
| Q3 | 9 |
| 95-th percentile | 11 |
| Maximum | 17 |
| Range | 17 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 3.210790149 |
|---|---|
| Coefficient of variation (CV) | 0.3990998035 |
| Kurtosis | 1.645508794 |
| Mean | 8.045080755 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -1.485432434 |
| Sum | 135986 |
| Variance | 10.30917338 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=18)
| Value | Count | Frequency (%) |
| 9 | 12103 | |
| 0 | 1398 | 7.0% |
| 11 | 1349 | 6.7% |
| 2 | 1171 | 5.9% |
| 12 | 192 | 1.0% |
| 10 | 173 | 0.9% |
| 16 | 126 | 0.6% |
| 13 | 125 | 0.6% |
| 7 | 89 | 0.4% |
| 8 | 61 | 0.3% |
| Other values (8) | 116 | 0.6% |
| (Missing) | 3097 | 15.5% |
| Value | Count | Frequency (%) |
| 0 | 1398 | |
| 1 | 1 | < 0.1% |
| 2 | 1171 | |
| 3 | 7 | < 0.1% |
| 4 | 13 | 0.1% |
| Value | Count | Frequency (%) |
| 17 | 16 | 0.1% |
| 16 | 126 | |
| 15 | 25 | 0.1% |
| 14 | 6 | < 0.1% |
| 13 | 125 |
| Distinct | 6 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 2978 |
| Missing (%) | 14.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.533309834 |
|---|---|
| Minimum | 0 |
| Maximum | 5 |
| Zeros | 1114 |
| Zeros (%) | 5.6% |
| Memory size | 156.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 5 |
| Maximum | 5 |
| Range | 5 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 1.532765217 |
|---|---|
| Coefficient of variation (CV) | 0.6050445137 |
| Kurtosis | -1.064418569 |
| Mean | 2.533309834 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.3443705658 |
| Sum | 43122 |
| Variance | 2.34936921 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 2 | 6882 | |
| 1 | 3144 | |
| 4 | 2924 | |
| 5 | 2822 | |
| 0 | 1114 | 5.6% |
| 3 | 136 | 0.7% |
| (Missing) | 2978 |
| Value | Count | Frequency (%) |
| 0 | 1114 | 5.6% |
| 1 | 3144 | |
| 2 | 6882 | |
| 3 | 136 | 0.7% |
| 4 | 2924 |
| Value | Count | Frequency (%) |
| 5 | 2822 | |
| 4 | 2924 | |
| 3 | 136 | 0.7% |
| 2 | 6882 | |
| 1 | 3144 |
local_onde_reside
Real number (ℝ≥0)
| Distinct | 743 |
|---|---|
| Distinct (%) | 3.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 581.29525 |
|---|---|
| Minimum | 105 |
| Maximum | 999 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 156.4 KiB |
Quantile statistics
| Minimum | 105 |
|---|---|
| 5-th percentile | 148 |
| Q1 | 444 |
| median | 596 |
| Q3 | 728 |
| 95-th percentile | 956 |
| Maximum | 999 |
| Range | 894 |
| Interquartile range (IQR) | 284 |
Descriptive statistics
| Standard deviation | 227.369798 |
|---|---|
| Coefficient of variation (CV) | 0.3911433957 |
| Kurtosis | -0.5758248011 |
| Mean | 581.29525 |
| Median Absolute Deviation (MAD) | 144 |
| Skewness | -0.2500355883 |
| Sum | 11625905 |
| Variance | 51697.02503 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 960 | 367 | 1.8% |
| 591 | 345 | 1.7% |
| 570 | 310 | 1.6% |
| 456 | 256 | 1.3% |
| 628 | 249 | 1.2% |
| 685 | 222 | 1.1% |
| 596 | 205 | 1.0% |
| 689 | 196 | 1.0% |
| 619 | 194 | 1.0% |
| 581 | 189 | 0.9% |
| Other values (733) | 17467 |
| Value | Count | Frequency (%) |
| 105 | 1 | < 0.1% |
| 110 | 11 | 0.1% |
| 112 | 1 | < 0.1% |
| 113 | 83 | |
| 114 | 46 |
| Value | Count | Frequency (%) |
| 999 | 2 | < 0.1% |
| 998 | 1 | < 0.1% |
| 997 | 4 | |
| 996 | 2 | < 0.1% |
| 995 | 8 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 156.4 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 20000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
| Value | Count | Frequency (%) |
| 0 | 10000 | |
| 1 | 10000 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1 | 10000 | |
| 0 | 10000 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 10000 | |
| 1 | 10000 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 20000 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 10000 | |
| 1 | 10000 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 20000 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 10000 | |
| 1 | 10000 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20000 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 10000 | |
| 1 | 10000 |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| produto_solicitado | dia_vencimento | forma_envio_solicitacao | tipo_endereco | sexo | idade | estado_civil | qtde_dependentes | nacionalidade | possui_telefone_residencial | tipo_residencia | meses_na_residencia | possui_email | renda_mensal_regular | renda_extra | possui_cartao_visa | possui_cartao_mastercard | possui_cartao_diners | possui_cartao_amex | possui_outros_cartoes | qtde_contas_bancarias | qtde_contas_bancarias_especiais | valor_patrimonio_pessoal | possui_carro | vinculo_formal_com_empresa | possui_telefone_trabalho | meses_no_trabalho | profissao | ocupacao | local_onde_reside | inadimplente | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 10 | presencial | 1 | M | 85 | 2 | 0 | 1 | Y | 1.0 | 12.0 | 0 | 480.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.0 | 1 | N | N | 0 | 9.0 | 1.0 | 600.0 | 0 |
| 1 | 1 | 25 | internet | 1 | F | 38 | 1 | 0 | 1 | Y | 1.0 | 5.0 | 1 | 380.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0 | N | N | 0 | 2.0 | 5.0 | 492.0 | 0 |
| 2 | 1 | 20 | internet | 1 | F | 37 | 2 | 0 | 1 | Y | 5.0 | 1.0 | 1 | 600.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0 | N | N | 0 | NaN | NaN | 450.0 | 1 |
| 3 | 1 | 20 | internet | 1 | M | 37 | 1 | 1 | 1 | Y | 1.0 | 1.0 | 1 | 460.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0 | Y | Y | 0 | 9.0 | 2.0 | 932.0 | 1 |
| 4 | 7 | 1 | internet | 1 | F | 51 | 1 | 3 | 1 | Y | 0.0 | 1.0 | 1 | 687.0 | 600.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 1 | Y | N | 0 | 9.0 | 5.0 | 440.0 | 1 |
| 5 | 1 | 20 | presencial | 1 | M | 21 | 1 | 1 | 1 | Y | 5.0 | 2.0 | 0 | 382.0 | 0.0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 1 | Y | Y | 0 | 9.0 | 2.0 | 628.0 | 1 |
| 6 | 1 | 15 | presencial | 1 | F | 64 | 4 | 2 | 1 | Y | 1.0 | 0.0 | 1 | 350.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.0 | 1 | N | N | 0 | 10.0 | 1.0 | 190.0 | 1 |
| 7 | 1 | 5 | internet | 1 | F | 20 | 1 | 0 | 1 | Y | 1.0 | 5.0 | 1 | 800.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0 | N | N | 0 | NaN | NaN | 299.0 | 1 |
| 8 | 2 | 25 | internet | 1 | F | 39 | 2 | 2 | 1 | Y | 1.0 | 3.0 | 1 | 1200.0 | 0.0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0 | Y | Y | 0 | 9.0 | 2.0 | 756.0 | 0 |
| 9 | 1 | 10 | presencial | 1 | M | 44 | 2 | 2 | 1 | N | 1.0 | 15.0 | 0 | 749.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.0 | 1 | Y | N | 0 | 9.0 | 2.0 | 960.0 | 1 |
Last rows
| produto_solicitado | dia_vencimento | forma_envio_solicitacao | tipo_endereco | sexo | idade | estado_civil | qtde_dependentes | nacionalidade | possui_telefone_residencial | tipo_residencia | meses_na_residencia | possui_email | renda_mensal_regular | renda_extra | possui_cartao_visa | possui_cartao_mastercard | possui_cartao_diners | possui_cartao_amex | possui_outros_cartoes | qtde_contas_bancarias | qtde_contas_bancarias_especiais | valor_patrimonio_pessoal | possui_carro | vinculo_formal_com_empresa | possui_telefone_trabalho | meses_no_trabalho | profissao | ocupacao | local_onde_reside | inadimplente | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 19990 | 1 | 10 | presencial | 1 | F | 52 | 4 | 0 | 1 | N | 1.0 | 0.0 | 0 | 350.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.0 | 1 | N | N | 0 | 0.0 | 1.0 | 872.0 | 1 |
| 19991 | 1 | 10 | presencial | 1 | M | 48 | 2 | 2 | 1 | N | 1.0 | 6.0 | 0 | 1308.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.0 | 1 | N | N | 0 | 0.0 | 1.0 | 351.0 | 1 |
| 19992 | 1 | 5 | internet | 1 | M | 62 | 4 | 0 | 1 | Y | 1.0 | 30.0 | 1 | 358.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0 | N | N | 0 | 9.0 | 1.0 | 230.0 | 0 |
| 19993 | 1 | 5 | internet | 1 | F | 18 | 1 | 0 | 1 | Y | 1.0 | 6.0 | 1 | 405.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0 | N | N | 0 | 9.0 | 2.0 | 289.0 | 0 |
| 19994 | 2 | 5 | presencial | 1 | M | 23 | 2 | 0 | 1 | Y | 1.0 | 23.0 | 0 | 350.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.0 | 1 | N | N | 0 | 0.0 | 0.0 | 457.0 | 1 |
| 19995 | 1 | 10 | presencial | 1 | M | 27 | 2 | 0 | 1 | Y | 2.0 | 0.0 | 1 | 423.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.0 | 1 | Y | N | 0 | 9.0 | 1.0 | 308.0 | 0 |
| 19996 | 1 | 20 | presencial | 1 | F | 26 | 2 | 1 | 1 | Y | 1.0 | 3.0 | 0 | 350.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.0 | 1 | Y | N | 0 | 9.0 | 2.0 | 639.0 | 0 |
| 19997 | 1 | 10 | internet | 1 | F | 63 | 2 | 0 | 1 | Y | 5.0 | 25.0 | 1 | 321.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0 | N | N | 0 | 9.0 | 1.0 | 486.0 | 0 |
| 19998 | 1 | 5 | internet | 1 | F | 84 | 1 | 0 | 1 | N | 1.0 | 30.0 | 1 | 380.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0 | N | N | 0 | NaN | NaN | 590.0 | 0 |
| 19999 | 2 | 20 | presencial | 1 | F | 53 | 1 | 0 | 1 | Y | 1.0 | 11.0 | 1 | 300.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.0 | 1 | N | N | 0 | 9.0 | 5.0 | 132.0 | 0 |
Most frequent
| produto_solicitado | dia_vencimento | forma_envio_solicitacao | tipo_endereco | sexo | idade | estado_civil | qtde_dependentes | nacionalidade | possui_telefone_residencial | tipo_residencia | meses_na_residencia | possui_email | renda_mensal_regular | renda_extra | possui_cartao_visa | possui_cartao_mastercard | possui_cartao_diners | possui_cartao_amex | possui_outros_cartoes | qtde_contas_bancarias | qtde_contas_bancarias_especiais | valor_patrimonio_pessoal | possui_carro | vinculo_formal_com_empresa | possui_telefone_trabalho | meses_no_trabalho | profissao | ocupacao | local_onde_reside | inadimplente | count | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2 | 10 | internet | 1 | M | 35 | 1 | 0 | 1 | Y | 1.0 | 5.0 | 1 | 620.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0 | Y | Y | 0 | 9.0 | 5.0 | 380.0 | 1 | 2 |